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Academic Centre of Excellence in Cyber Security Research - University of Northumbria at Newcastle

Academic Centre of Excellence in Cyber Security Research - University of Northumbria at Newcastle
网络安全研究卓越学术中心 - 诺森比亚大学纽卡斯尔分校
批准号:
EP/T009543/1
负责人:
Lynne Coventry
金额:
$6.19万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
未结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
Northumbria University applies knowledge from multiple disciplines, into digital security through the work of the Cyber Security Research Group (CSRG) - a cross university group that combines (i) technical research on biometric encryption, wireless sensor networks, web security protocols, sonification and image recognition, with (ii) human-centred work on usable security, privacy, trust and behaviour change. Our work ensures that the individual disciplines optimise their contribution to their own discipline, while working together to understand the point of interaction; the different strengths and weaknesses of computers and humans and how they can best work together to defend the enterprise. The vision of this research group is to secure our digital tomorrow by maximising technological developments, understanding human cybersecurity behaviours and exploring the factors that influence behaviour change including design, law, policy and the social context. We seek to optimise our citizens behaviours as cyber-defenders as well as optimise our technology defences against intrusions. Northumbria's Digital Living theme provides an opportunity to integrate work across the computational & behavioural sciences, law and design, particularly around secure Big Data & IoT, personal security across the lifespan and building resilient smart cities (where we are currently working in partnership with Newcastle University and Newcastle & Gateshead City Councils as part of the EPSRC funded Urban Living Partnership). In addition as part of the Health and Social Care multidisciplinary research theme, we are growing our research focusing on cybersecurity in the health and social care domains as they struggle to reconcile advances in personal informatics, AI and embedded wireless medical devices with outdated legacy systems, poor security behaviours and vulnerable populations. We will achieve this vision by (i) incorporating multiple disciplines to broaden our understanding of cybersecurity behaviours. This will include law, ethics, policy and design. (ii) exploring how best to facilitate cybersecurity behaviour change (iii) exploring the needs of diverse populations and designing for inclusivity. At the same time work will continue to (iv) build adaptive technology defences for access control, network intrusion detection and phishing detection - thus reducing the burden on users.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/s00138-020-01103-3
发表时间: 2020-07
期刊: Machine Vision and Applications
影响因子: 3.3
作者: [Jumma Almaghtuf;F. Khelifi;A. Bouridane]
通讯作者: Jumma Almaghtuf;F. Khelifi;A. Bouridane
The Workplace Information Sensitivity Appraisal (WISA) scale
工作场所信息敏感性评估(WISA)量表
DOI: 10.1016/j.chbr.2022.100240
发表时间: 2022
期刊: Computers in Human Behavior Reports
影响因子: --
作者: [Blythe J]
通讯作者: Blythe J
The 'Northumbria Temporal Image Forensics' Database: Description and Analysis
“诺森比亚时态图像取证”数据库:描述和分析
DOI: 10.1109/codit49905.2020.9263888
发表时间: 2020
期刊:
影响因子: --
作者: [Ahmed F]
通讯作者: Ahmed F
Temporal Image Forensic Analysis for Picture Dating with Deep Learning
利用深度学习进行图片约会的时态图像取证分析
DOI: 10.1109/iccece49321.2020.9231160
发表时间: 2020
期刊:
影响因子: --
作者: [Ahmed F]
通讯作者: Ahmed F
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